Machine Learning Engineer - Now Hiring

---------

About Babel Street:

Babel Street illuminates identity and information for a safer, more productive world. Engineered for mission-critical applications, our proven AI-powered products transform data into knowledge, build a more complete picture around identity, and discover digital evidence. Our advanced data analytics and intelligence platform, combined with a robust text analytics engine, helps teams rapidly transform massive amounts of global, multilingual data into actionable and contextual insights so they can act with confidence. Every day, we work with our customers in highly-regulated, high-stakes industries such as financial services, healthcare, legal and law enforcement, and the global public sector. The actionable insights we deliver safeguard lives and protect critical assets around the world. Learn more at BabelStreet.com.

Job Overview:

The Machine Learning Engineer will be responsible for building and maintaining ML platforms and data pipelines. The role will work closely with multiple stakeholders and technical teams to design and implement algorithms and machine learning software for our Rosette product. The Machine Learning Engineer will report to the VP of Engineering responsible for development of our Rosette product.

Job Responsibilities:

• Build tooling and automation to support the entire ML engineering lifecycle, from beginning to production operations including model training, deployment, usage, and analysis.
• Build production-ready systems to process and segment data, run experiments, manage artifacts, data store, and data analysis.
• Design the data pipelines and engineering infrastructure to support ML systems at scale including optimization, automated retraining, data archival and version management, as well as model and drift monitoring.
• Work closely with colleagues in Product, Operations, and Sales to structure problems and understand the impact across various departments within the company.

Job Requirements:

• Deep quantitative/programming background with a degree in a highly analytical discipline.
• 3 years of hands-on production experience with end-to-end ML development.
• Experience with MLOps tools Proficiency with a high-level programming language (Python/Java).
• Proficiency in working with database systems.
• Experience training machine learning models in frameworks like Tensorflow, PyTorch, Keras.
• Familiarity with the full life cycle of software development, design to deployment.
• Excellent communication, analytical reasoning, decision making and problem-solving skills desired.
• US Citizenship and ability to obtain a Public Trust clearance. Position does not require clearance to start but candidate must be willing to be cleared in future.

Benefits at Babel Street (just to name a few...)

• Health Benefits: Babel Street covers 90-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances – for you and your family!
• Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
• Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives. At a minimum, employees need to take a least 15 to 25 days per year.
• Holidays: Babel Street provides employees with 12 paid Federal Holidays
• Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.

Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.